Data Annotation Tools

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Simulated 64-beam LiDAR sweep of a city street seen from above and behind the sensor car: beam rings on the road, parked cars, a delivery van, a cyclist and four pedestrians, each inside a 3D cuboid with its class, track id and size.

car 044.84 × 1.84 × 1.45 m

car 014.25 × 1.79 × 1.47 m

cyclist 011.70 × 0.62 × 1.68 m

pedestrian 010.77 × 0.54 × 1.77 m

pedestrian 030.89 × 0.52 × 1.67 m

car 014.25 × 1.79 × 1.47 m

cyclist 011.70 × 0.62 × 1.68 m

pedestrian 030.89 × 0.52 × 1.67 m

car 044.84 × 1.84 × 1.45 m

car 014.25 × 1.79 × 1.47 m

cyclist 011.70 × 0.62 × 1.68 m

sensor 1.73 m

Simulated 64-beam LiDAR sweep of a street built in 3D for this page · 126,002 points · 14 cuboids

Data annotation tools for images, video, text and 3D point clouds

Data annotation tools are where your team draws the labels a model learns from in images, video and text, and in 3D that means a box around every car, cyclist and person in a cloud of 126,002 laser points like this one. We compared 28 tools, checked against their own docs, including which ones can label point clouds at all.

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28 data annotation tools

Facts checked against each tool's own docs, pricing page or repository on Nov 8, 2026. Order: most of our 8 documented checks first. No tool paid for its place. How we compare.

  1. 1

    Label Studio

    HumanSignal · Open core (Apache-2.0)

    8/8 checks

    Teams that want one open-source tool for images, text, audio, video and time series, with a hosted or enterprise edition when they grow.

    Handles
    Images, Video, Text, Audio, Time series, PDFs and documents, LLM chats, 3D point clouds, Medical imagesChat and 3D point cloud labeling come with the paid editions, and DICOM with Enterprise.
    Runs
    On your own server, on private infrastructure (VPC or on-premises), or in the vendor's cloudLast release Sep 29, 2026
    Price
    Community Edition: free and open source (Apache-2.0), self-hosted. Starter Cloud: $99 a month plus $49 a month per extra user, up to 12 users. Enterprise: by quote.
    The catch
    Reviewer assignment, agreement metrics and roles are not in the free Community Edition; they start with Starter Cloud.
  2. 2

    Labellerr

    Tensor Matics, Inc. · Commercial

    8/8 checks

    Teams labeling images, video, text, PDFs or audio who want SAM-based auto-labeling and a client review step.

    Handles
    Images, Video, Text, Audio, PDFs and documents, Medical images, 3D point clouds
    Runs
    On private infrastructure (VPC or on-premises) or in the vendor's cloud
    Price
    Free Researcher plan for students and researchers (by application): 2,500 data credits, 1 seat. Pro: $9,999 a year. Enterprise: by quote.
    The catch
    DICOM, LiDAR and NIfTI files are listed only on the custom-priced Enterprise plan, and its FAQ quotes a Pro price of $499 a month while the pricing table says $9,999 a year.
  3. 3

    Datasaur Data Studio

    Datasaur · Commercial

    8/8 checks

    Enterprise NLP teams that want a hosted or self-hosted platform for text, document, audio and chat labeling with heavy automation.

    Handles
    Text, PDFs and documents, Images, Audio, LLM chats
    Runs
    On your own server or in the vendor's cloud
    Price
    Free: personal workspace, 5,000 labels a year. Starter: from $5,000 a year through sales, up to 3 users. Growth: from $24,000 a year.
    The catch
    Paid plans go through sales, self-hosting is Enterprise only, and Datasaur's main site now leads with private LLM projects.
  4. 4

    CVAT

    CVAT.ai Corporation · Open core (MIT)

    8/8 checks

    Teams that want a free, self-hostable tool for images, video, 3D point clouds and now audio, with a paid cloud or enterprise edition when they grow.

    Handles
    Images, Video, 3D point clouds, Audio
    Runs
    On your own server, on private infrastructure (VPC or on-premises), or in the vendor's cloudLast release Nov 5, 2026
    Price
    Community Edition: free and open source (MIT), self-hosted. CVAT Online: free plan with 1 GB and 3 tasks; Solo $33 a month, or $23 a month billed yearly; Team $33 per user a month, 2 seats minimum.
    The catch
    CVAT's own FAQ says the free self-hosted edition has no automated QA and no SSO, and that CVAT holds no SOC 2 or ISO 27001 certification.
  5. 5

    UBIAI

    UBIAI · Commercial

    8/8 checks

    Small NLP teams labeling entities, relations and categories in text, PDFs and scanned documents who also want model training in the same tool.

    Handles
    Text, PDFs and documents, Images
    Runs
    On your own server, on private infrastructure (VPC or on-premises), or in the vendor's cloud
    Price
    Start: $0 a month, one user, 100 documents a month. Essential: $74 a month. Growth: $299 a month.
    The catch
    LLM pre-labeling needs your own OpenAI API key, and its annotation docs show they were last updated about two years ago.
  6. 6

    Kili Technology

    Kili Technology · Commercial

    7/8 checks

    Teams labeling images, video, PDFs, text or geospatial imagery who want multi-step review, consensus and honeypot checks, with an on-prem install on Enterprise.

    Handles
    Images, Video, Text, PDFs and documents, Audio, Geospatial, LLM chatsAudio is in beta and LLM labeling is a private beta.
    Runs
    On private infrastructure (VPC or on-premises) or in the vendor's cloud
    Price
    Free Trial plan: $0 a month, 2 to 5 seats, 100 assets (5 for video). Grow and Enterprise: custom pricing, no numbers printed.
    The catch
    Each project tops out at 25,000 assets, so bigger datasets get split across projects.
  7. 7

    BasicAI

    BasicAI · Commercial

    7/8 checks

    Autonomous driving and robotics teams that need LiDAR and camera sensor-fusion labeling installed in their own environment.

    Handles
    Images, Video, Text, Audio, 3D point clouds, LLM chats
    Runs
    On private infrastructure (VPC or on-premises)
    Price
    Private-cloud deployment from $6,600 a year, sized per company. No free plan on the pricing page.
    The catch
    Self-serve cloud plans are gone from the pricing page, while its docs still describe a free cloud plan, so confirm what you're buying.
  8. 8

    Supervisely

    Supervisely · Commercial

    7/8 checks

    Teams labeling several kinds of data (images, video, LiDAR, medical volumes, 3D meshes, audio) who want seat-based pricing and an on-prem option.

    Handles
    Images, Video, 3D point clouds, Medical images, Audio
    Runs
    On your own server, on private infrastructure (VPC or on-premises), or in the vendor's cloud
    Price
    Community: free, 2 members, 5 GB, hosted in Germany. Pro: from €199 a month with 3 members, €85 per extra member. Enterprise: by quote.
    The catch
    Pro's base price leaves out the advanced toolboxes: point cloud, video and medical tools at full limits are paid add-ons, and point clouds alone add €399.
  9. 9

    INCEpTION

    Eclipse Foundation incubating project, originally developed at the UKP Lab, TU Darmstadt · Open source (Apache-2.0)

    7/8 checks

    Now an Eclipse Foundation project, named Eclipse INCEpTION.

    Research and enterprise teams doing layered text annotation (entities, relations, coreference) with links to their own knowledge bases.

    Handles
    Text, PDFs and documents
    Runs
    On your computer, on your own server, or on private infrastructure (VPC or on-premises)Last release Oct 27, 2026
    Price
    Free and open source (Apache-2.0), self-hosted or as a desktop app.
    The catch
    The PDF editor needs a text layer, so scanned PDFs must be OCRed first, and their text can sit slightly off the page image.
  10. 10

    Roboflow

    Roboflow · Cloud service

    7/8 checks

    Teams that want to label images and video, then train and deploy vision models, in one hosted platform paid with usage credits.

    Handles
    Images, Video
    Runs
    In the vendor's cloud
    Price
    Free Tier: $0, 10 credits a month. Core: $39 a month for a credit pack. Credits pay for storage, AI labeling, training and deployment.
    The catch
    New workspaces have data licensing and model training on private projects switched on by default; an admin has to opt out. Review Mode and roles need the Teams add-on.
  11. 11

    Encord

    Encord (Cord Technologies, Inc.) · Commercial

    6/8 checks

    ML teams labeling video, images, 3D scenes or DICOM and NIfTI scans who want curation, review and model evaluation in one platform.

    Handles
    Images, Video, Audio, Text, PDFs and documents, Medical images, 3D point clouds, Time series, Geospatial, LLM chatsLLM evaluation is a Team plan add-on.
    Runs
    On private infrastructure (VPC or on-premises) or in the vendor's cloud
    Price
    No prices printed for the Starter, Team or Enterprise plans. No free plan is listed.
    The catch
    Point clouds, DICOM and NIfTI are add-ons on the Team plan and come with Enterprise, where VPC and on-prem installs are add-ons too.
  12. 12

    Dataloop

    Dataloop Ltd., part of Dell Technologies · Commercial

    6/8 checks

    Renamed Dell Data Orchestration Engine on March 30, 2026.

    Enterprise teams that want labeling with consensus and honeypot QA inside a larger data pipeline platform, with an on-prem option added in July 2026.

    Handles
    Images, Video, Audio, Text, PDFs and documents, 3D point clouds, Geospatial, LLM chats
    Runs
    On private infrastructure (VPC or on-premises) or in the vendor's cloud
    Price
    No public prices: billing is metered on time spent in the labeling tool, stored items and compute. The only free option is an academic license.
    The catch
    Its COCO, YOLO and Pascal VOC exports cover images only; everything else exports as its own JSON.
  13. 13

    X-AnyLabeling

    CVHub (Wei Wang) · Open source (GPL-3.0)

    6/8 checks

    Desktop labeling with a big built-in model library (SAM, YOLO, Grounding DINO and more) for images, video and, since October 2026, 3D point clouds.

    Handles
    Images, Video, Text, 3D point clouds, PDFs and documents, LLM chats
    Runs
    On your computerLast release Nov 2, 2026
    Price
    Free and open source (GPL-3.0), including commercial use under the license.
    The catch
    A one-person desktop app with no reviewer roles, and the release notes say the prebuilt package may not run on every system.
  14. 14

    Prodigy

    Explosion · Paid license

    6/8 checks

    Python-savvy NLP teams that want a scriptable tool running on their own machines, tied closely to spaCy, for NER, classification and model-in-the-loop work.

    Handles
    Text, Images, Audio, Video, PDFs and documents
    Runs
    On your computer, on your own server, or on private infrastructure (VPC or on-premises)
    Price
    Personal license: $390 once. Company: $490 per seat, sold in packs of 5. Both include 12 months of upgrades. No free version.
    The catch
    No user accounts or project management; its docs say it leaves that kind of feature out on purpose.
  15. 15

    Argilla

    Argilla (joined Hugging Face, announced June 13, 2024) · Open source (Apache-2.0)

    6/8 checks

    Teams on Hugging Face that want to collect human feedback on text, chat and image records for LLM fine-tuning, evaluation and classic NLP labeling.

    Handles
    Text, Images, LLM chats
    Runs
    On your own serverLast release Nov 2, 2026
    Price
    Free and open source (Apache-2.0); deploy on Hugging Face Spaces or your own servers.
    The catch
    Its README says no new features will be added, though bug fixes and patches still ship.
  16. 16

    doccano

    doccano open-source project (GitHub org doccano) · Open source (MIT)

    6/8 checks

    Small teams that want a free, self-hosted tool for text classification, NER and text-to-text labeling, with basic image and speech projects on the side.

    Handles
    Text, Images, Audio
    Runs
    On your own serverLast release Jan 11, 2026
    Price
    Free and open source (MIT); you host it yourself.
    The catch
    NER projects export only as JSONL; there's no CoNLL or spaCy export, and no agreement scoring in the docs.
  17. 17

    Segments.ai

    Segments.ai (site logo reads 'Segments.ai by Uber') · Cloud service

    6/8 checks

    Its site now brands it Segments.ai by Uber.

    Robotics and autonomous-vehicle teams labeling LiDAR point clouds with synced camera images, priced by labeling hours instead of seats.

    Handles
    Images, Video, 3D point clouds
    Runs
    In the vendor's cloud
    Price
    No free plan, a 14-day trial on Core. Core: custom quote from 3,600 labeling hours a year (equal to $2.67 an hour), unlimited seats.
    The catch
    The entry Core plan caps each point cloud at 500,000 points; bigger scans need the Fusion plan.
  18. 18

    Labelme

    Kentaro Wada (labelme.io) · Open core (GPL-3.0)

    6/8 checks

    One person who wants a lightweight desktop tool for polygons, boxes and points on images, with SAM-assisted outlines, saved as simple JSON files.

    Handles
    Images, Video
    Runs
    On your computerLast release Oct 25, 2026
    Price
    Open-source package: free (GPL-3.0). Desktop app: Pro $79 once with a year of updates, Lifetime $249, Team $249 per seat for 5 or more seats.
    The catch
    YOLO and YOLO-OBB export and the no-Python installer are in the paid app; the free package saves Labelme JSON, with example scripts for VOC and COCO.
  19. 19

    Audino

    MIDAS, IIIT Delhi · Source available (CC)

    6/8 checks

    Researchers and non-commercial projects that need a free, self-hosted tool for audio transcription and region labeling.

    Handles
    Audio
    Runs
    On your own serverLast release Feb 3, 2026
    Price
    Free. Version 2.0 is licensed for non-commercial use only (CC BY-NC 4.0); the older v1 branch is MIT.
    The catch
    Since February 2026 the current version (v2.0) is licensed for non-commercial use only; the older v1 branch is still MIT.
  20. 20

    SuperAnnotate

    SuperAnnotate · Commercial

    5/8 checks

    Teams that want one hosted platform for image, video, text, audio, point cloud and DICOM labeling, with configurable QA workflows and SAM-based assists.

    Handles
    Images, Video, Text, Audio, 3D point clouds, Medical images, PDFs and documents, LLM chats
    Runs
    In the vendor's cloud
    Price
    No prices printed: Starter, Pro and Enterprise all go through a demo request. No free plan is listed.
    The catch
    Cloud only, and labels export as SuperAnnotate JSON, JSONL or CSV; COCO needs its Python SDK converter.
  21. 21

    Labelbox

    Labelbox, Inc. · Commercial

    5/8 checks

    Teams that want a hosted labeling platform with usage-based pricing for images, video, text, audio, PDFs and geospatial tiles.

    Handles
    Images, Video, Text, Audio, PDFs and documents, Geospatial, LLM chats
    Runs
    In the vendor's cloud
    Price
    Free plan: 500 Labelbox Units (LBU) a month, up to 30 users. Starter: $0.10 per LBU, and a labeled image costs 1 LBU. Enterprise: by quote. Prices come from its docs; labelbox.com/pricing returned a 404 on Nov 8, 2026.
    The catch
    Cloud only, with data stored in the US; Labelbox retired its on-premise version, moving the last customers off by August 2023, and labels export as Labelbox JSON.
  22. 22

    V7 Darwin

    V7 · Commercial

    5/8 checks

    Teams labeling images, video, PDFs and medical files (DICOM, NIfTI, pathology slides) who want SAM-based segmentation and multi-stage review, with data stored in the EU.

    Handles
    Images, Video, Medical images, PDFs and documents
    Runs
    In the vendor's cloud
    Price
    Custom yearly quote: a platform fee plus user licenses plus data processing. The Darwin site mentions a free tier but prints no limits.
    The catch
    Its COCO, YOLO, Pascal VOC and CVAT XML exports don't carry video labels; only Darwin JSON covers every annotation type.
  23. 23

    Xtreme1

    BasicAI (open-source project) · Open source (Apache-2.0)

    5/8 checks

    Teams that want a free, self-hosted tool for LiDAR point clouds, sensor fusion and image labeling, and are comfortable running Docker.

    Handles
    Images, 3D point clouds, Text, LLM chatsText and LLM chat labeling are in beta.
    Runs
    On your own serverLast release Sep 28, 2026
    Price
    Free and open source (Apache-2.0), self-hosted with Docker.
    The catch
    The built-in pre-labeling models need a Linux server with an NVIDIA GPU, and releases paused from April 2024 until September 2026.
  24. 24

    VisionRepo

    Averroes · Cloud service

    5/8 checks

    Manufacturing and inspection teams that want a low-cost hosted tool to organize and label images and video, then auto-label from a small seed set.

    Handles
    Images, Video
    Runs
    In the vendor's cloud
    Price
    Free: $0, one seat, one project, 2 GB. Pro: $20 a month for 3 seats. Ultra: $200 a month for 7 seats.
    The catch
    Labeling itself is metered: every label you create or remove counts against a daily quota that depends on the plan.
  25. 25

    Make Sense

    Piotr Skalski (open-source project) · Open source (GPL-3.0)

    5/8 checks

    Quick box, polygon, line and point labeling in the browser, exported to YOLO, VOC XML, COCO or CSV, with images kept on your machine.

    Handles
    Images
    Runs
    On your computer or on your own serverLast release Dec 20, 2022
    Price
    Free and open source (GPL-3.0); runs in the browser.
    The catch
    No changes to its main branch since December 2023 and no release since a 2022 alpha, though the project isn't archived.
  26. 26

    VGG Image Annotator (VIA)

    Visual Geometry Group (VGG), University of Oxford · Open source (BSD-2-Clause)

    4/8 checks

    Anyone who needs to label images, video or audio offline from a single HTML file, with nothing to install and no account.

    Handles
    Images, Video, Audio
    Runs
    On your computer
    Price
    Free under the two-clause BSD license, for academic and commercial use.
    The catch
    No AI-assisted labeling, and features are split: VIA2 handles images only, VIA3 adds video, audio and shared projects.
  27. 27

    Vidat

    ANU CVML (Australian National University computer vision group) · Open source (MIT)

    4/8 checks

    Researchers who want a free, no-install browser tool to label actions, boxes, regions and poses in video.

    Handles
    Video
    Runs
    On your computer or on your own serverLast release Jul 27, 2026
    Price
    Free and open source (MIT); runs in the browser with videos kept on your machine.
    The catch
    No AI assist, it saves only its own JSON format, and it can't open online YouTube videos.
  28. 28

    PixLab Annotate

    PixLab (Symisc Systems, SUARL) · Free web tool

    3/8 checks

    Drawing boxes and polygons on images in the browser, with no install and no sign-up, and the images processed on your own computer.

    Handles
    Images
    Runs
    On your computer
    Price
    Free, no account needed.
    The catch
    Work in progress lives in browser storage, there's no AI assist, and the only export is PixLab's own JSON, one file per image.

Data annotation software: what to check first

Data annotation software differs most on six points, and checking them in this order saves the most time.

  1. The data you label. A tool built for photos may not open text, audio or 3D scans at all, so every entry above lists what its own docs say it handles, and we keep separate lists of image annotation tools, video annotation tools and text annotation tools.
  2. Where it runs. Browser tools such as VGG Image Annotator and Make Sense keep files on your computer, self-hosted tools such as Label Studio's Community Edition run on your own server, and platforms such as Labelbox and SuperAnnotate run only in the vendor's cloud.
  3. AI-assisted labeling. A model drafts the labels and a person fixes them; 15 of the tools on this page document an assist built on Meta's Segment Anything Model (SAM).
  4. Review and QA. Once more than one person labels, you need a review step, reviewer roles or agreement scores, and free editions often leave them out; our data labeling platforms list only includes tools that document one.
  5. Export formats. Check that the tool exports what your training code reads, such as COCO or YOLO for detection, because some platforms export only their own JSON.
  6. The price model. Prices run from free and open source to per-seat plans, usage credits and sales-only quotes, and 5 of the tools on this page print no price for any paid plan.

Free and open-source data annotation tools

Free and open-source data annotation tools now cover most kinds of data: 11 of the tools on this page publish their code under an open-source license. You can run them without a contract, read the code and keep your files on your own machines, but the hosting, upkeep and team features are yours to handle.

ToolLicenseRunsHandles
Label StudioApache-2.0On your own server, In your cloud or on-prem, In the vendor's cloudImages, Video, Text, Audio, Time series, PDFs and documents, LLM chats, 3D point clouds, Medical images
CVATMITOn your own server, In your cloud or on-prem, In the vendor's cloudImages, Video, 3D point clouds, Audio
INCEpTIONApache-2.0On your computer, On your own server, In your cloud or on-premText, PDFs and documents
X-AnyLabelingGPL-3.0On your computerImages, Video, Text, 3D point clouds, PDFs and documents, LLM chats
ArgillaApache-2.0On your own serverText, Images, LLM chats
doccanoMITOn your own serverText, Images, Audio
LabelmeGPL-3.0On your computerImages, Video
Xtreme1Apache-2.0On your own serverImages, 3D point clouds, Text, LLM chats
Make SenseGPL-3.0On your computer, On your own serverImages
VGG Image Annotator (VIA)BSD-2-ClauseOn your computerImages, Video, Audio
VidatMITOn your computer, On your own serverVideo

Free plans on commercial platforms are a different deal, with limits that end the free ride. Labelbox gives 500 Labelbox Units a month, Kili Technology's Free Trial plan stops at 100 assets, Roboflow's Free Tier comes with 10 credits a month, and Labellerr's free Researcher plan is for students and researchers who apply.

AI-assisted annotation tools

AI-assisted annotation tools, also sold as auto annotation or automatic annotation, use a model to draft labels that a person then checks. The draft comes from one of three places: a pretrained detector such as a YOLO model, a promptable segmenter such as Meta's Segment Anything Model that turns a click or a box into an outline, or your own model connected through an API.

  • X-AnyLabeling bundles a large model library, from SAM versions 1 to 3.1 to YOLOv5 through YOLO26, and runs it on your own computer.
  • Label Studio connects to a separate machine learning backend, with ready examples for SAM, Grounding DINO, OCR and spaCy.
  • Roboflow bills its AI labeling tools in credits, the same credits that pay for training and storage.

Drafted labels still need a person's review, so look for a tool that shows which labels came from a model and lets a reviewer accept or reject them.

Audio annotation tools

Audio annotation tools mark speech, speakers and sound events on a waveform, and 15 of the tools on this page document audio support, led by Label Studio, Labellerr, Datasaur Data Studio, CVAT and Kili Technology. VGG Image Annotator's version 3 labels audio offline in the browser, Prodigy handles audio regions and transcripts on your own machine, and Kili Technology lists audio as a beta.

3D point cloud and LiDAR annotation tools

3D point cloud and LiDAR annotation tools let you draw cuboids and label points in scans from LiDAR and depth sensors, and 11 tools on this page document it, led by Label Studio, Labellerr, CVAT, BasicAI and Supervisely. On several platforms 3D costs extra: Encord lists point clouds as an add-on to its Team plan, Labellerr shows LiDAR files only on Enterprise, and Label Studio includes them only in its paid editions. X-AnyLabeling added point cloud labeling to its free desktop app on October 1, 2026.

Medical image annotation tools for DICOM

Medical image annotation tools open DICOM scans, and some also open NIfTI volumes and pathology slides; 6 tools on this page document medical image support, led by Label Studio, Labellerr, Supervisely, Encord and SuperAnnotate. V7 Darwin keeps stored data in the EU and lists SOC 2 Type II, ISO 27001 and HIPAA on its security page, while Encord sells DICOM and NIfTI labeling as a Team plan add-on. A HIPAA claim on a vendor's page is a starting point; ask for the audit report before you upload patient data.

Data annotation tools FAQ

These data annotation tools FAQ answers use the same checked facts as the list above.

What are data annotation tools?

Data annotation tools are programs for adding labels to raw data: boxes around objects in photos, tags on words in a sentence, time ranges in audio or cuboids in a 3D scan. A machine learning model then learns from those labeled examples.

Which data annotation tool is best?

The best data annotation tool depends on your data and where it has to run. For a free, self-hosted start across many kinds of data, look first at Label Studio, which passes all 8 of our documented checks and has a free Community Edition; for images on one computer with nothing to install, try VGG Image Annotator; for a managed platform with review workflows, compare Labelbox, Encord, SuperAnnotate, V7 Darwin and Kili Technology in the list above.

Are there free data annotation tools?

Yes, free data annotation tools include open-source projects such as Label Studio's Community Edition, Labelme, VGG Image Annotator, X-AnyLabeling, doccano and INCEpTION, plus free plans on commercial platforms such as Labelbox and Roboflow.

What are the main types of data annotation?

The main types of data annotation follow the data: bounding boxes, polygons, keypoints and segmentation masks for images; tracked objects and time ranges for video; entity spans, categories and relations for text; transcripts and speaker turns for audio; and cuboids for 3D point clouds.

What file formats do data annotation tools export?

Data annotation tools most often export COCO JSON and YOLO text files for object detection, Pascal VOC XML for older pipelines, and JSONL, CSV or CoNLL for text. Most also keep a native JSON format that holds every label type, and some platforms export only that.

Do I need a data annotation tool or a labeling service?

A data annotation tool is software your own people use, while a labeling service supplies the people. Some platforms on this page sell both: Labelbox and Kili Technology list optional labeling services next to the software, so a team can start with the tool and add outside labelers later.

Sources for this comparison

The sources for this comparison are the tools' own pages: 361 pages from 28 tools, read on Nov 8, 2026. They are listed as plain text, because we link a tool only when it gives us a referral link we disclose.

Show the 361 source pages
  • Label Studio: labelstud.io, api.github.com/repos/HumanSignal/label-studio, api.github.com/repos/HumanSignal/label-studio/releases/latest, labelstud.io/guide/label_studio_compare, raw.githubusercontent.com/HumanSignal/label-studio/develop/README.md, humansignal.com/pricing and 4 more
  • Labellerr: labellerr.com/pricing, docs.labellerr.com/changelog.md, docs.labellerr.com/product-releases/september-2026.md, labellerr.com/faq, labellerr.com/enterprise, docs.labellerr.com/getting-started/introduction.md and 24 more
  • Datasaur Data Studio: datasaur.ai, datasaur.ai/pricing, datasaur.ai/studio, docs.datasaur.ai, datasaur.ai/studio/pricing, docs.datasaur.ai/deployment/self-hosted.md and 8 more
  • CVAT: api.github.com/repos/cvat-ai/cvat/releases/latest, cvat.ai/resources/changelog/2026-09-24, docs.cvat.ai/docs/annotation/audio-editor, docs.cvat.ai/docs/annotation/manual-annotation/modes/3d-object-annotation, raw.githubusercontent.com/cvat-ai/cvat/develop/README.md, cvat.ai/pricing/cvat-online and 9 more
  • UBIAI: ubiai.tools, ubiai.gitbook.io/ubiai-documentation, ubiai.tools/pricing-ubiaiv2, ubiai.gitbook.io/ubiai-documentation/upload-documents.md, ubiai.tools/r1-ocr-annotation-feature, ubiai.tools/r1-auto-labeling and 5 more
  • Kili Technology: kili-technology.com/pricing, docs.kili-technology.com/changelog/november-4th-2026.md, kili-technology.com, docs.kili-technology.com/docs/labeling-audio-assets.md, docs.kili-technology.com/docs/labeling-llm-data.md, docs.kili-technology.com/docs/hosting.md and 29 more
  • BasicAI: basic.ai/basicai-data-annotation-platform/pricing, docs.basic.ai/docs/subscription.md, docs.basic.ai/changelog, basic.ai, docs.basic.ai/docs/gen-ai.md, docs.basic.ai/docs/class.md and 9 more
  • Supervisely: supervisely.com/pricing, supervisely.com/security, supervisely.com/platform, supervisely.com/ai-assisted-labeling, supervisely.com, supervisely.com/labeling-workflow and 1 more
  • INCEpTION: api.github.com/repos/inception-project/inception/releases/latest, eclipse-inception.github.io, inception-project.github.io, api.github.com/repos/inception-project/inception, eclipse-inception.github.io/eclipse, eclipse-inception.github.io/downloads and 1 more
  • Roboflow: docs.roboflow.com/platform/billing-and-plans/plans.md, roboflow.com/annotate, docs.roboflow.com/datasets/annotate/annotate/annotation-tools.md, docs.roboflow.com/datasets/annotate/annotate/annotate-video-segments.md, docs.roboflow.com/datasets/annotate/annotate/ai-labeling.md, docs.roboflow.com/datasets/annotate/annotate/ai-labeling/smart-select.md and 8 more
  • Encord: encord.com/pricing, docs.encord.com/release-notes/releasenotes-2026.md, docs.encord.com/platform-documentation/Other/deployment-options.md, docs.encord.com/platform-documentation/General/general-supported-data.md, docs.encord.com/platform-documentation/Annotate/annotate-ontologies/annotate-ontologies.md, docs.encord.com/platform-documentation/Annotate/automated-labeling/annotate-sam.md and 11 more
  • Dataloop: docs.dataloop.ai/docs/platform-release-notes.md, dataloop.ai, dataloop.ai/platform, docs.dataloop.ai/docs/home.md, dataloop.ai/solutions/data-annotation, docs.dataloop.ai/docs/data-annotation-overview.md and 24 more
  • X-AnyLabeling: api.github.com/repos/CVHub520/X-AnyLabeling, api.github.com/repos/CVHub520/X-AnyLabeling/releases/latest, raw.githubusercontent.com/CVHub520/X-AnyLabeling/main/README.md, xanylabeling.com
  • Prodigy: prodi.gy/docs/changelog, prodi.gy/docs, prodi.gy/buy, prodi.gy/docs/install, prodi.gy/docs/deployment, prodi.gy/docs/recipes and 3 more
  • Argilla: raw.githubusercontent.com/argilla-io/argilla/develop/README.md, api.github.com/repos/argilla-io/argilla/releases/latest, api.github.com/repos/argilla-io/argilla, argilla.io/blog/argilla-joins-hugggingface, docs.argilla.io/latest/getting_started/faq, docs.argilla.io/latest/getting_started/quickstart and 7 more
  • doccano: raw.githubusercontent.com/doccano/doccano/master/README.md, api.github.com/repos/doccano/doccano/releases/latest, api.github.com/repos/doccano/doccano, raw.githubusercontent.com/doccano/doccano/master/backend/projects/models.py, doccano.github.io/doccano/advanced/auto_labelling_config, raw.githubusercontent.com/doccano/doccano/master/backend/config/settings/base.py and 5 more
  • Segments.ai: segments.ai/pricing, docs.segments.ai/reference/sample-types.md, segments.ai/data-labeling/multi-sensor, segments.ai/data-labeling/3d-point-cloud, docs.segments.ai/reference/label-types.md, docs.segments.ai and 6 more
  • Labelme: labelme.io/docs/install-labelme-app, api.github.com/repos/wkentaro/labelme, api.github.com/repos/wkentaro/labelme/releases/latest, raw.githubusercontent.com/wkentaro/labelme/main/README.md, labelme.io, labelme.io/pricing
  • Audino: raw.githubusercontent.com/midas-research/audino/main/README.md, api.github.com/repos/midas-research/audino, api.github.com/repos/midas-research/audino/commits?per_page=10, api.github.com/repos/midas-research/audino/releases/latest, raw.githubusercontent.com/midas-research/audino/main/LICENSE, raw.githubusercontent.com/midas-research/audino/master/LICENSE and 4 more
  • SuperAnnotate: doc.superannotate.com/changelog/october-11-2026, doc.superannotate.com/docs/faq-data, trust.superannotate.com, superannotate.com/blog/superannotate-nvidia-enterprise-ai-reference-architecture, superannotate.com/pricing, superannotateai.github.io/custom-tools-docs and 15 more
  • Labelbox: docs.labelbox.com/horizon/release-notes.md, labelbox.com, docs.labelbox.com/llms.txt, labelbox.com/products/horizon, docs.labelbox.com/horizon/guides/deprecations.md, docs.labelbox.com/horizon/guides/image-editor.md and 18 more
  • V7 Darwin: v7darwin.com/changelog/audio-annotations, trust.v7labs.com, v7darwin.com/changelog, v7darwin.com/pricing, v7labs.com/pricing, v7darwin.com/security and 17 more
  • Xtreme1: api.github.com/repos/xtreme1-io/xtreme1/releases/latest, api.github.com/repos/xtreme1-io/xtreme1/releases?per_page=5, api.github.com/repos/xtreme1-io/xtreme1/commits?per_page=3, docs.xtreme1.io/xtreme1-docs, raw.githubusercontent.com/xtreme1-io/xtreme1/main/README.md, docs.xtreme1.io/xtreme1-docs/export-data.md and 1 more
  • VisionRepo: averroes.ai/visionrepo/pricing, averroes.ai/visionrepo, averroes.ai/deployment
  • Make Sense: raw.githubusercontent.com/SkalskiP/make-sense/develop/README.md, api.github.com/repos/SkalskiP/make-sense, api.github.com/repos/SkalskiP/make-sense/commits?sha=develop&per_page=1, api.github.com/repos/SkalskiP/make-sense/releases/latest, makesense.ai, skalskip.github.io/make-sense
  • VGG Image Annotator (VIA): robots.ox.ac.uk/~vgg/software/via, gitlab.com/api/v4/projects/vgg%2Fvia
  • Vidat: api.github.com/repos/anucvml/vidat/releases/latest, api.github.com/repos/anucvml/vidat/commits?per_page=3, api.github.com/repos/anucvml/vidat, raw.githubusercontent.com/anucvml/vidat/main/README.md
  • PixLab Annotate: pixlab.io/annotate